Reliever-Triggered Inhaled Glucocorticoid in Black and Latinx Adults with Asthma.

BACKGROUND: Black and Latinx patients bear a disproportionate burden of asthma. Efforts to reduce the disproportionate morbidity have been mostly unsuccessful, and guideline recommendations have not been based on studies in these populations. METHODS: In this pragmatic, open-label trial, we randomly assigned Black and Latinx adults with moderate-to-severe asthma to use a patient-activated, reliever-triggered inhaled glucocorticoid strategy (beclomethasone dipropionate, 80 µg) plus usual care (intervention) or to continue usual care. Participants had one instructional visit followed by 15 monthly questionnaires. The primary end point was the annualized rate of severe asthma exacerbations. Secondary end points included monthly asthma control as measured with the Asthma Control Test (ACT; range, 5 [poor] to 25 [complete control]), quality of life as measured with the Asthma Symptom Utility Index (ASUI; range, 0 to 1, with lower scores indicating greater impairment), and participant-reported missed days of work, school, or usual activities. Safety was also assessed. RESULTS: Of 1201 adults (603 Black and 598 Latinx), 600 were assigned to the intervention group and 601 to the usual-care group. The annualized rate of severe asthma exacerbations was 0.69 (95% confidence interval [CI], 0.61 to 0.78) in the intervention group and 0.82 (95% CI, 0.73 to 0.92) in the usual-care group (hazard ratio, 0.85; 95% CI, 0.72 to 0.999; P = 0.048). ACT scores increased by 3.4 points (95% CI, 3.1 to 3.6) in the intervention group and by 2.5 points (95% CI, 2.3 to 2.8) in the usual-care group (difference, 0.9; 95% CI, 0.5 to 1.2); ASUI scores increased by 0.12 points (95% CI, 0.11 to 0.13) and 0.08 points (95% CI, 0.07 to 0.09), respectively (difference, 0.04; 95% CI, 0.02 to 0.05). The annualized rate of missed days was 13.4 in the intervention group and 16.8 in the usual-care group (rate ratio, 0.80; 95% CI, 0.67 to 0.95). Serious adverse events occurred in 12.2% of the participants, with an even distribution between the groups. CONCLUSIONS: Among Black and Latinx adults with moderate-to-severe asthma, provision of an inhaled glucocorticoid and one-time instruction on its use, added to usual care, led to a lower rate of severe asthma exacerbations. (Funded by the Patient-Centered Outcomes Research Institute and others; PREPARE ClinicalTrials.gov number, NCT02995733.).

Enhancing asthma research and improving health equity through decentralized clinical trials (DCTs) and mHealth technology.

The COVID-19 pandemic led to widespread disruption and termination of clinical research and a prompt adoption of mobile health (mHealth) technologies in the healthcare space. As the United States' healthcare system has rapidly become reliant on remotely conducted activities, the implementation of decentralized methods using mHealth technology in research investigation has become a necessary alternative to traditional in-person cohort studies. The aim of this article is to: report successful and unsuccessful examples of remote asthma clinical studies, explore the benefits and potential drawbacks of virtual clinical investigation, discuss the potential impact on equity and representation in asthma research, and provide suggestions through which investigators can implement decentralized clinical trials. Enhanced study accessibility, participant diversity, safety measures, and research efficacy are some of the benefits identified with a focused discussion on the impact on equity that decentralized clinical trials renders. Furthermore, potential concerns regarding regulatory compliance, data privacy, and effective mHealth design and solutions are discussed. Despite the setbacks and interruptions faced by the study participants and investigators due to the pandemic, the transition to decentralized clinical studies using mHealth technology is a positive, feasible step toward innovation and equity in the allergy and immunology field.

ASTHMAXcel PRO patient satisfaction and usability field testing.

Background: ASTHMAXcel PRO, an enhanced version of the ASTHMAXcel mobile application, has been developed to deliver comprehensive, guideline-based asthma education while also facilitating the collection of patient-reported outcomes (PROs) and enhancing user experience.Objective: To perform field testing and conduct formative and summative evaluation of the ASTHMAXcel PRO application to assess its impact on patient satisfaction, usability, and usage.Methods: Twenty-eight adult patients completed a baseline visit during which ASTHMAXcel PRO was introduced, health literacy was assessed, and demographic data were collected. They were instructed to use the app for 4 weeks. The Questionnaire for User Interface Satisfaction (QUIS) and the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire were administered at baseline and 4 weeks to assess user satisfaction and technology acceptance, respectively. Semi-structured interviews were conducted to gather feedback regarding the application from patients.Results: The baseline total scores were high for both UTAUT and QUIS (mean (SD): 64.2 (10.1), 6.8 (2.2) respectively) indicating that user satisfaction and acceptance began at high levels. UTAUT total score, as well as all domain scores, improved significantly from baseline to 4 weeks (p < 0.02). QUIS total score along with several domain scores (screen, system capabilities, usability) also increased from baseline to 4-weeks (p = 0.03, 0.01, 0.03, 0.01, respectively). These improvements remained significant when adjusting for age, gender, education, and health literacy. Patients reported that the application was helpful, informative, and easy to understand and use.Conclusion: The significant increases in satisfaction and technology adoption observed among ASTHMAXcel PRO users demonstrate that the application is viable and has the potential to improve upon usability challenges faced by existing mobile health applications.

Developing and Evaluating the DiabetesXcel Mobile Application for Adult Patients With Type 2 Diabetes.

The authors trialed a mobile application, DiabetesXcel, which included type 2 diabetes-focused educational videos and modules, in 50 adults of Bronx, NY, a region with a high prevalence of diabetes and diabetes complications. From baseline to 4 months and from baseline to 6 months, there was significantly improved quality of life, self-management, knowledge, self-efficacy, depression, A1C, and LDL cholesterol among those who used DiabetesXcel. There was also a significant decrease in diabetes-related emergency department visits and hospital admissions from baseline to 6 months. This study demonstrates that DiabetesXcel could be beneficial for type 2 diabetes management.

Using K-Means Clustering to Identify Physician Clusters by Electronic Health Record Burden and Efficiency.

Objectives: Electronic health records (EHRs) have transformed the way modern medicine is practiced, but they remain a major source of documentation burden among physicians. This study aims to use data from Signal, a tool provided by the Epic EHR, to analyze physician metadata in the Montefiore Health System via cluster analysis to assess EHR burden and efficiency. Methods: Data were obtained for a one-month period (July 2020) representing a return to normal operation post-telemedicine implementation. Six metrics from Signal were used to phenotype physicians: time on unscheduled days, pajama time, time outside of 7 AM to 7 PM, turnaround time, proficiency score, and visits closed the same day. k-Means clustering was employed to group physicians, and the clusters were assessed overall and by sex and specialty. Results: Our results demonstrate the partitioning of physicians into a higher-efficiency, lower-time outside of scheduled hours (TOSH) cluster and a lower-efficiency, higher-TOSH cluster even when stratified by sex and specialty. Intra-cluster comparisons showed general homogeneity of physician metrics with the exception of the higher-efficiency, lower-TOSH cluster when stratified by sex. Conclusions: Taken together, the clusters uniquely reflect the EHR efficiency-burden of the Montefiore Health System. Applying k-means clustering to readily available EHR data allows for a scalable, efficient, and adaptable approach of assessing physician EHR burden and efficiency, allowing health systems to examine documentation trends and target wellness interventions.

The Relationship Between Depressive Symptoms, eHealth Literacy, and Asthma Outcomes in the Context of a Mobile Health Intervention.

OBJECTIVE: The ASTHMAXcel PRO mobile app provides asthma education and collects asthma outcome data. The objective of this study was to evaluate the associations between health/electronic health literacy (eHealth literacy) and depressive symptoms with app usage and clinical outcomes. METHODS: Adults with persistent asthma were recruited to use the app. Participants completed the Patient Health Questionnaire-9 to assess for depressive symptoms, Asthma Control Test, Mini Asthma Quality of Life (QOL) Questionnaire, and the Newest Vital Sign tool to measure health literacy. Data on a subset of participants were available on eHealth literacy ( n = 24) and average number of app logins across 2 months ( n = 40). RESULTS: The total study sample included 96 participants (46% non-Hispanic Black, 44.4% Hispanic). The average participant age was 44.0 (standard deviation = 14.9) years, with 74% identifying as female. Increased depressive symptoms were associated with worse asthma control ( ß = -0.46, p < .001) and asthma QOL ( ß = -0.38, p < .001), but not eHealth literacy. Higher eHealth literacy was associated with worse asthma QOL ( ß = -0.48, p = .02) and more app logins ( ß = 0.59, p = .04). Newest Vital Sign scores were not associated with any of the other measures. CONCLUSIONS: Depressive symptoms were associated with worse asthma outcomes. eHealth literacy was associated with increased patient engagement with the app and worse asthma QOL, which may reflect patients with worse QOL seeking out health information on the Internet (although directionality could not be assessed). Digital health literacy may be key to increasing patient engagement with mobile health interventions.Trial Registration: National Clinical Trial No. 03847142, https://clinicaltrials.gov/ct2/show/NCT03847142 .

Preference for and impact of telehealth vs in-person asthma visits among Black and Latinx adults.

BACKGROUND: Black and Latinx adults experience disproportionate asthma-related morbidity and limited specialty care access. The severe acute respiratory syndrome coronavirus 2 pandemic expanded telehealth use. OBJECTIVE: To evaluate visit type (telehealth [TH] vs in-person [IP]) preferences and the impact of visit type on asthma outcomes among Black and Latinx adults with moderate-to-severe asthma. METHODS: For this PREPARE trial ancillary study, visit type preference was surveyed by e-mail or telephone post-trial. Emergency medical record data on visit types and asthma outcomes were available for a subset (March 2020 to April 2021). Characteristics associated with visit type preferences, and relationships between visit type and asthma outcomes (control [Asthma Control Test] and asthma-related quality of life [Asthma Symptom Utility Index]), were tested using multivariable regression. RESULTS: A total of 866 participants consented to be surveyed, with 847 respondents. Among the participants with asthma care experience with both visit types, 42.0% preferred TH for regular checkups, which associated with employment (odds ratio [OR] = 1.61; 95% confidence interval [CI], 1.09-2.39; P = .02), lower asthma medication adherence (OR = 1.06; 95% CI, 1.01-1.11; P = .03), and having more historical emergency department and urgent care asthma visits (OR = 1.10 for each additional visit; 95% CI, 1.02-1.18; P = .02), after adjustment. Emergency medical record data were available for 98 participants (62 TH, 36 IP). Those with TH visits were more likely Latinx, from the Southwest, employed, using inhaled corticosteroid-only controller therapy, with lower body mass index, and lower self-reported asthma medication adherence vs those with IP visits only. Both groups had comparable Asthma Control Test (18.4 vs 18.9, P = .52) and Asthma Symptom Utility Index (0.79 vs 0.84, P = .16) scores after adjustment. CONCLUSION: TH may be similarly efficacious as and often preferred over IP among Black and Latinx adults with moderate-to-severe asthma, especially for regular checkups. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02995733.

Measurement of adherence to inhaled corticosteroids by self-report and electronic medication monitoring.

OBJECTIVE: Poor adherence to daily inhaled corticosteroids (ICS) is an important factor contributing to asthma morbidity. Assessing adherence in clinical settings using self-reported adherence often overestimates actual adherence. Electronic monitoring devices (EMDs) are objective means of assessing adherence, but are not routinely used in practice. Here, we aimed to establish adherence rates to ICS using EMDs in an inner-city, minority population in the Bronx, NY, and to compare two methods of self-reported adherence with EMD-measured adherence. METHODS: Patients with physician-confirmed persistent asthma and daily ICS prescription were recruited. Self-reported adherence to ICS was measured by parental report for children and self-report for adults and the Medication Adherence Report Scale for Asthma (MARS-A). Two weeks after enrollment, EMD data were accessed for analysis. Daily adherence was calculated based on the number of puffs actuated per day as captured by EMD divided by the prescribed number of puffs. RESULTS: 41 children and 40 adults participated. Median EMD-measured ICS adherence was 41% (children) and 43% (adults). This was significantly lower than the median self-reported adherence (100% for children, p < 0.001; 100% for adults, p < 0.001). MARS-A score in children did not correlate with EMD adherence data (p = 0.18), while in adults, this correlation tended to be more consistent (p = 0.07). CONCLUSIONS: Adherence to daily ICS as measured using EMD is low in this population. In both adults and children, self-reported adherence was a poor indicator of true adherence. Further efforts using objective measures of medication adherence for patients with high asthma morbidity may be warranted to guide therapeutic decisions.

Trends in seasonal pollen and asthma-related morbidity among adults and children in a U.S. high-density urban center, 2001-2020.

OBJECTIVE: To analyze the long-term trends in pollen counts and asthma-related emergency department visits (AREDV) in adult and pediatric populations in the Bronx. METHODS: Daily values of adult and pediatric AREDV were retrospectively obtained from three major Bronx hospitals using ICD-10 codes and pollen counts were obtained from the Armonk station from 2001-2020. Wilcoxon Ranked Sum was applied to compare median values, while Spearman correlation was employed to examine the association between these variables, for both decades and each season. RESULTS: The median value of pediatric AREDV increased by 200% from the 1st to 2nd decade (p < 0.001) and AREDV peak shifted from predominantly the spring season in the 1st decade to the fall and winter seasons in the 2nd decade. Seasonal patterns were consistent over 20 years with summer AREDV lower than all other seasons (9 vs. 17 per day) (p < 0.001). Spring tree pollen peaks were correlated with AREDV peaks (rho = 0.34) (p < 0.001). Tree pollen exceeding 100 grains/m3 corresponded to a median of 19.0 AREDVs while all other tree pollen (0 - 99 grains/m3) corresponded to a median of 15.0 AREDVs (p < 0.001). AREDVs sharply declined in 2020, coinciding with the emergence of COVID-19. CONCLUSIONS: Pollen and AREDVs peak earlier in the spring and are more strongly interconnected, while asthma rates among children are rapidly rising, particularly in the fall and winter. These findings can advise targeted awareness campaigns for better management of asthma related morbidity.

The relationship between social support, self-efficacy, and asthma outcomes in older adults.

OBJECTIVE: There has been a call for research examining factors that influence asthma outcomes in older adults because of the notable disparities observed in this age group. Social support and self-efficacy are resources that factor into asthma outcomes. The current study aimed to examine the relationship between these resources (independently and jointly) and asthma control and quality of life. METHODS: Older adults with moderate-severe asthma were recruited from NYC. Data were obtained during in-person interviews via validated measures of social support, asthma self-efficacy, asthma control, and asthma quality of life. Linear regression evaluated self-efficacy in the relationship between social support and asthma outcomes. RESULTS: In a sample of 359 older adults (M = 68.04, 47.9% Hispanic, 26.5% Black, and 25.6% other), social support had an inverse association with asthma control. As social support increased, asthma control decreased (ß = 0.95, t(356) = -3.13, p = .002). Self-efficacy significantly moderated this relationship (ß = 0.01, t(356) = 2.37, p = .018). For individuals with low or moderate asthma self-efficacy, more received social support was associated with worse asthma control (ß = -0.33, t(356) = -4.66, p < .0001; ß = -0.20, t(356) = -3.21, p = .0014, respectively). For individuals with high self-efficacy, no relationship was found between received social support and asthma control (ß = -0.10, t(356)= -1.20, p =.23). For asthma quality of life, higher levels of received social support were associated with worse quality of life (ß = -0.88, t(356) = -2.64, p = .009), but this association was not significantly moderated by self-efficacy (ß = 0.01, t(356) = 1.90, p = .0582). CONCLUSIONS: For older adults with asthma, receiving more social support is associated with worse asthma outcomes, especially for older adults with lower asthma self-efficacy.

Evaluating the effect and user satisfaction of an adapted and translated mobile health application ASTHMAXcel© among adults with asthma in Pune, India.

OBJECTIVE: ASTHMAXcel© is a mobile application previously shown to improve asthma knowledge, control, and quality of life. In this study, we translated the application to Marathi for pilot testing in Pune, India in order to evaluate its impact on user satisfaction and asthma knowledge among adult asthma patients. METHODS: ASTHMAXcel© was adapted to Marathi with the help of asthma patients and clinicians from Bharati Hospital. 57 different asthma patients were then recruited and received the Asthma Knowledge Questionnaire (AKQ), Asthma Control Questionnaire (ACQ), and Mini Asthma Quality of Life Questionnaire (Mini-AQLQ) to complete at baseline. Study participants then completed the adapted ASTHMAXcel© application. Post-intervention, participants filled out a post-AKQ and Questionnaire for User Interface Satisfaction (QUIS). A subset of participants was also interviewed for qualitative feedback. Paired t-tests and Pearson's correlation were used for statistical analysis. RESULTS: Mean AKQ improved from 5.0+/-2.4 to 12.4+/-1.6 (p = 0.0001). QUIS results revealed that participants were highly satisfied with the application, scoring an average of 50 out of 54 maximum points. Better baseline asthma control was correlated with greater overall experience with the application (-0.110, p = 0.0417). Finally, the qualitative feedback revealed four themes for future refinement. CONCLUSION: The adapted version of ASTHMAXcel© was linked to significant improvement in patient asthma knowledge and a high level of user satisfaction. These results support the potential utility of mHealth applications in promoting guideline-based asthma care in India. However, further studies are needed to establish a causal relationship between ASTHMAXcel© and improved clinical outcomes.

Asthma history influences gait performance and associated prefrontal cortex activation patterns in older adults.

Walking and cognition are interrelated due to dependence on shared brain regions that include the prefrontal cortex (PFC). Limited literature indicates that asthma is associated with poor mobility in older adults but the mechanisms underlying this relationship are unknown. Therefore, we tested the hypothesis that asthma history was associated with poor gait performance due to limited attention resources and neural inefficiency. Participants, older adults age ≥ 65 years reporting positive (n = 36) and negative (n = 36) history of asthma, walked under single and dual-task conditions with a functional near-infrared-spectroscopy (fNIRS) sensor placed on their forehead to assess task-related changes in PFC oxygenated hemoglobin (HbO2). Results showed that positive asthma history was associated with slower gait and higher fNIRS-derived HbO2 under dual-task walking. These findings suggest that limited attention resources and neural inefficiency underlie the association between asthma and poor walking performance in older adults.

Development and Validation of a Respiratory-Responsive Vocal Biomarker-Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19.

BACKGROUND: Vocal biomarker-based machine learning approaches have shown promising results in the detection of various health conditions, including respiratory diseases, such as asthma. OBJECTIVE: This study aimed to determine whether a respiratory-responsive vocal biomarker (RRVB) model platform initially trained on an asthma and healthy volunteer (HV) data set can differentiate patients with active COVID-19 infection from asymptomatic HVs by assessing its sensitivity, specificity, and odds ratio (OR). METHODS: A logistic regression model using a weighted sum of voice acoustic features was previously trained and validated on a data set of approximately 1700 patients with a confirmed asthma diagnosis and a similar number of healthy controls. The same model has shown generalizability to patients with chronic obstructive pulmonary disease, interstitial lung disease, and cough. In this study, 497 participants (female: n=268, 53.9%; <65 years old: n=467, 94%; Marathi speakers: n=253, 50.9%; English speakers: n=223, 44.9%; Spanish speakers: n=25, 5%) were enrolled across 4 clinical sites in the United States and India and provided voice samples and symptom reports on their personal smartphones. The participants included patients who are symptomatic COVID-19 positive and negative as well as asymptomatic HVs. The RRVB model performance was assessed by comparing it with the clinical diagnosis of COVID-19 confirmed by reverse transcriptase-polymerase chain reaction. RESULTS: The ability of the RRVB model to differentiate patients with respiratory conditions from healthy controls was previously demonstrated on validation data in asthma, chronic obstructive pulmonary disease, interstitial lung disease, and cough, with ORs of 4.3, 9.1, 3.1, and 3.9, respectively. The same RRVB model in this study in COVID-19 performed with a sensitivity of 73.2%, specificity of 62.9%, and OR of 4.64 (P<.001). Patients who experienced respiratory symptoms were detected more frequently than those who did not experience respiratory symptoms and completely asymptomatic patients (sensitivity: 78.4% vs 67.4% vs 68%, respectively). CONCLUSIONS: The RRVB model has shown good generalizability across respiratory conditions, geographies, and languages. Results using data set of patients with COVID-19 demonstrate its meaningful potential to serve as a prescreening tool for identifying individuals at risk for COVID-19 infection in combination with temperature and symptom reports. Although not a COVID-19 test, these results suggest that the RRVB model can encourage targeted testing. Moreover, the generalizability of this model for detecting respiratory symptoms across different linguistic and geographic contexts suggests a potential path for the development and validation of voice-based tools for broader disease surveillance and monitoring applications in the future.

Severe asthma in adult, inner-city predominantly African-American and latinx population: demographic, clinical and phenotypic characteristics.

INTRODUCTION: The burden of asthma morbidity with co-existing atopy among the racial/ethnic minorities in the socio-economically disadvantaged NYC borough of the Bronx is unusually high. The multidisciplinary Montefiore Asthma Center (MAC) provides guideline-based treatment to this high-risk population through the joint efforts of Allergists/Immunologists, Pulmonologists, and on-site health educators. METHODS: The objective of this prospective, observational study was to define the demographic and clinical characteristics of severe asthma, evaluate improvement in asthma severity and lung function through the course of treatment at the MAC, and describe the asthma phenotypes of the patients managed at the MAC. Adults with severe asthma receiving treatment at the MAC were followed from their first to their last visit at the MAC. Patient demographics, along with asthma severity and co-existing allergies, were assessed. Possible phenotypes were defined (based on presence or absence of atopy, age at asthma onset, and blood eosinophil counts). RESULTS: 227 patients were included in the final analysis, of which 55.5% were Hispanic and 33.9% identified as non-Hispanic Black. Ninety-one percent (91%) of our cohort was found to be atopic and allergic rhinoconjunctivitis (ARC) was the most commonly identified co-existing allergic condition (86.3%). Mean Asthma Control Test (ACT) scores improved from 11.1 (± 4.9) at the initial visit to 14.8 (± 6.1) at the last visit. The spirometric values did not improve despite treatment at MAC. CONCLUSION: A multidisciplinary severe asthma center is an ideal setting to phenotype patients and offer personalized guideline-based management and education to adults with severe asthma.

A prospective observational study evaluating the use of remote patient monitoring in ED discharged COVID-19 patients in NYC.

OBJECTIVES: We investigated whether continuous remote patient monitoring (RPM) could significantly reduce return Emergency Department (ED) revisits among coronavirus disease 2019 (COVID-19) patients discharged from the emergency Department. MATERIALS AND METHODS: A prospective observational study was conducted from a total of 2833 COVID-19 diagnosed patients who presented to the Montefiore Medical Center ED between September 2020-March 2021. Study patients were remotely monitored through a digital platform that was supervised 24/7 by licensed healthcare professionals. Age and time-period matched controls were randomly sampled through retrospective review. The primary outcome was ED revisit rates among the two groups. RESULTS: In our study, 150 patients enrolled in the RPM program and 150 controls were sampled for a total of 300 patients. Overall, 59.1% of the patients identified as Hispanic/Latino. The RPM group had higher body mass index (BMI) (29 (25-35) vs. 27 (25-31) p-value 0.020) and rates of hypertension (50.7% (76) vs. 35.8% (54) p-value 0.009). There were no statistically significant differences in rates of ED revisit between the RPM group (8% (12)) and control group (9.3% (14)) (OR: 0.863; 95% CI:0.413-1. 803; p- 0.695). DISCUSSION AND CONCLUSION: Our study explored the impact of continuous monitoring versus intermittent monitoring for reducing ED revisits in a largely underrepresented population of the Bronx. Our study demonstrated that continuous remote patient monitoring showed no significant difference in preventing ED revisits compared to non-standardized intermittent monitoring. However, potential other acute care settings where RPM may be useful for identifying high-risk patients for early interventions warrant further study.

Online Registry of COVID-19-Associated Mucormycosis Cases, India, 2021.

We established an online registry of coronavirus disease-associated mucormycosis cases in India. We analyzed data from 65 cases diagnosed during April-June 2021, when the Delta variant predominated, and found that patients frequently received antibacterial drugs and zinc supplementation. Online registries rapidly provide relevant data for emerging infections.

Depressive Symptoms and Overperception of Airflow Obstruction in Older Adults With Asthma.

OBJECTIVE: Older adults are at increased risk for depression and poor asthma outcomes. We examined whether depressive symptoms are associated with overperception of airflow obstruction and a pattern of worse asthma control, but not pulmonary function. METHODS: We recruited a cohort of adults with asthma 60 years and older in East Harlem and the Bronx, New York. Baseline measures included the Geriatric Depression Scale, Asthma Control Questionnaire, and Mini Asthma Quality of Life Questionnaire. Spirometry was conducted at baseline to assess pulmonary function. Perception of airflow obstruction was assessed for 6 weeks following baseline by participants entering estimates of peak expiratory flow (PEF) into a programmable peak flow meter followed by PEF blows. Participants were blinded to actual PEF values. The percentage of time that participants were in the overperception zone was calculated as an average. RESULTS: Among the 334 participants (51% Hispanic, 25% Black), depressive symptoms were associated with overperception of airflow obstruction (ß = 0.14, p = .029), worse self-reported asthma control (ß = 0.17, p = .003), and lower asthma-related quality of life (ß = -0.33, p < .001), but not with lung function (ß = -0.01, p = .82). Overperception was also associated with worse self-reported asthma control (ß = 0.14, p = .021), but not lung function (ß = -0.05, p = .41). CONCLUSIONS: Depressive symptoms were associated with greater perceived impairment from asthma, but not pulmonary function. Overperception of asthma symptoms may play a key role in the relationship between depression and asthma outcomes in older adults.

Impact of technology-based interventions on linking potential kidney donors and transplant candidates: a scoping review.

Despite the demonstrated survival advantage in end-stage kidney disease (ESKD) patients of a preemptive living donor kidney transplantation (LDKT), there has been a decline in LDKT among African American and Hispanic populations. We performed a scoping review and summarized the evidence about the use of technology-based interventions (TBI) to not only increase knowledge and awareness of LDKT but also link living donors with transplant candidates. We evaluated 31 studies and characterized them into "transplant-candidate facing" TBI, "transplant donor facing" TBI, and "interactive websites" targeting both donors and candidates. For the patient-facing interventions, 60% of studies suggested an increased likelihood of linking possible donors and candidates. The donor-facing interventions showed an increase in donor awareness and 75% of these interventions suggested increasing donor-candidate linkage. This study also demonstrates that TBI (regardless of medium) that are accessible and customized to the specific target population can potentially increase linkage of donors to recipients and serve as effective guides to connect potential donors to transplant candidates.

Developing and pilot testing ASTHMAXcel, a mobile app for adults with asthma.

Objective: We sought to compare the impact of ASTHMAXcel, a novel, guideline-based, patient-facing mobile app to human-delivered asthma education.Methods: We conducted a focus group with asthma patients in the Bronx to identify desired mobile app features. ASTHMAXcel was designed based on patient feedback and consistent with NAEPP, BTS/SIGN, and GINA guidelines. The app was reviewed by internists, allergist/immunologists, and pulmonologists specializing in asthma treatment, asthma educators, and a behavioral scientist, and iteratively refined. The refined version of ASTHMAXcel was administered once via tablet at our outpatient Montefiore Asthma Center (MAC). Asthma knowledge was measured through the Asthma Knowledge Questionnaire (AKQ) pre and post-intervention. We also recorded process outcomes including completion time and patient satisfaction. In parallel, human-delivered education was delivered once at MAC. These outcomes were similarly collected.Results: 60 patients were enrolled with 30 in the ASTHMAXcel and 30 in the human-educator group. Mean AKQ in the ASTHMAXcel group vs human-educator group pre-intervention was 9.9 vs 10.5, p = 0.27. Mean AKQ post-intervention in the ASTHMAXcel group vs human-educator group was 12.3 vs 14.4, p = 0.0002. The mean AKQ improvement for both groups were 2.4 vs 3.9, p = 0.007. Patients were highly satisfied in the ASTHMAXcel group scoring on average 27.9 out of 30 maximum points on the satisfaction survey. There was no difference in satisfaction scores or completion times (minutes) of either intervention.Conclusion: ASTHMAXcel was associated with an increase in AKQ, but the human-educator group experienced a greater improvement. ASTHMAXcel demonstrated no differences in process outcomes vs human-delivered education.

Electronic Health Record Usage Patterns: Assessing Telemedicine's Impact on the Provider Experience During the COVID-19 Pandemic.

Telemedicine has been widely implemented during the coronavirus disease 2019 (COVID-19) pandemic; however, its impact on those providing care remains largely understudied. Provider documentation data collected by the electronic health record (EHR) represents an underutilized tool for assessing the provider experience. Through Epic Signal, we collected data regarding the actions logged in the EHR by health care providers of the Montefiore Health System (Bronx, NY) before and after the implementation of telemedicine during the pandemic. Focusing on five metrics (appointments per day, visits closed same day, time spent outside 7 AM-7 PM, time spent on unscheduled days, and pajama time), we performed a preliminary analysis of providers across the institution, by specialty, and according to demographic characteristics such as gender and years since graduation. We observed that after telemedicine implementation, a greater proportion of providers had fewer appointments per day, closed more notes same day, and spent less time in the EHR outside of normal working hours for each of the time-related metrics. We additionally found that providers who graduated longer ago as well as female providers spent more time documenting in the EHR after hours. This brief analysis highlights the potential of using EHR data to inform decisions based on provider well-being, specifically in the setting of telemedicine implementation.